From drafting reports and analyzing data to brainstorming solutions  AI assistants like ChatGPT are becoming everyday partners in professional workflows.
But has it made your process more creative, efficient, or dependent?
Curious to hear how professionals are truly integrating it into their daily work.

From context managers to decorators Python hides gems that even experienced devs sometimes miss.
Which feature or concept do you think deserves more attention and why?
Your insight might just become someone else’s productivity hack. 

I have worked with teams that have access to amazing analytics tools yet barely use them. Not because the tools are bad, but because people just don’t feel confident exploring data, interpreting dashboards, or running their own analysis.

Often, they stick to what’s comfortable like exporting everything to Excel , even when there’s a faster, better way sitting right in front of them.

And I get it if you’re not sure how to use something, it’s easier to avoid it.

If you’ve been in this situation, how did you actually help people become more comfortable and confident with data?

Was it formal training programs, embedding data experts into teams, creating quick reference guides, or just making it safe to ask “beginner” questions without judgment?

Curious to know what’s really worked for you and what didn’t.